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Seneke Chamith Chandrarathna(세네케 차미스),Bui Huu Nguyen,Jong-Wook Lee 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2
This brief presents an ultra-low power DC-DC boost converter for interfacing high impedance energy harvesters. The interface system implemented in a 180 nm standard CMOS process with a thick metal option can be initialized using 280 mV of input or 915 MHz RF signal at -14.5 dBm. The system also employs a maximum power point tracking (MPPT) algorithm and a zero current sensing controller (ZCS), which are realized by using a 0.57 nW/kHz relaxation oscillation-based delay controller. The boost-converter has been successfully tested using a voltage source with a 15 kΩ series resistance and achieved end-to-end efficiency of 84% at 130 mV of input while regulating output at 1.8 V.
Bui Huu Nguyen,Ngoc Hung Phi,Seneke Chamith Chandrarathna,Jong-Wook Lee(이종욱) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2
Wireless power transfer (WPT) is a convenient method of delivering energy to multiple devices without connecting wires. To further enhance WPT efficiency, unique characteristic metamaterials, such as electromagnetic field focusing, have been successfully utilized. Normally, metamaterial characteristics depend on multiple parameters. Several metamaterial designs require a significant amount of time to complete numerical simulation. In this work, we propose a rapid design metamaterial method using a deep neural network (DNN). When DNN is used, the results show an accuracy of 98.1% and an accumulated mean square error (MSE) less than 0.3×10<sup>-3</sup>. For synthesizing the design parameters, the MSE is less than 8×10<sup>-3</sup>. Besides, the computation time of the 1000 samples can be reduced 85×10<sup>3</sup> times compared to the HFSS simulation.